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Influences of anthropogenic activities and topography on water quality in the highly regulated Huai River basin, China

机译:人为活动与地貌对中国高压淮河流域水质的影响

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摘要

Our study analyzed the spatio-temporal trends of four major water quality parameters (i.e., dissolved oxygen (DO), ammonium nitrogen (NH3-N), total phosphorus (TP) and permanganate index (CODMn)) at 17 monitoring stations in one of the most polluted large river basins, Huai River Basin, in China during 2005 to 2014. More concerns were emphasized on the attributions, e.g., anthropogenic actives (land cover, pollution load, water temperature, and regulated flow) and natural factors (topography) to the changes in the water quality. The seasonal Mann-Kendall test indicated that water quality conditions were significantly improved during the study period. The results given by the Moran's I methods demonstrated that NH3-N and CODMn existed a weak and moderate positive spatial autocorrelation. Two cluster centers of significant high concentrations can be detected for DO and TP at the Mengcheng and Huaidian station, respectively, while four cluster centers of significant low concentrations for DO at Wangjiaba and Huaidian station in the 2010s. Multiple linear regression analysis suggested that water temperature, regulated flow, and load of water quality could significantly influence the water quality variations. Additionally, urban land cover was the primary predictor for NH3-N and CODMn at large scale. The predictive ability of regression models for NH3-N and CODMn declined as the scale decreases or the period ranges from the 2000s to the 2010s. Topography variables of elevation and slope, which can be treated as the important explanatory variables, exhibited positive and negative correlations to NH3-N and CODMn, respectively. This research can help us identify the water quality variations from the scale-process interactions and provide a scientific basis for comprehensive water quality management and decision making in the Huai River Basin and also other river basins over the world.
机译:我们的研究分析了在17个监测站的四个主要水质参数(即溶解的氧气(DO),溶解氧(DO),铵(DO),氮气(NH3-N),总磷(TP)和高级锰酸盐指数(CODMN)中的时空趋势2005年至2014年中国中国淮河流域最受污染的大河流域。关于归因的疑虑,例如人为活性物质(陆地覆盖,污染负荷,水温和调节流量)和自然因子(地形)对水质的变化。季节性Mann-Kendall测试表明,研究期间水质条件显着提高。由莫兰的I方法给出的结果表明NH3-N和CODMN存在弱和中等的正空间自相关。可以分别在孟城和华达岛站在孟城和华达站检测到两种显着高浓度的集群中心,而2010年代王家坝和华达站的四个集群中心。多重线性回归分析表明水温,调节流量和水质负荷可能会显着影响水质变化。此外,城市陆地覆盖是大规模NH3-N和CODMN的主要预测因子。 NH3-N和CODMN的回归模型的预测能力随着规模减少或2000年代到2010年的时间范围而下降。仰角和坡度的地形变量,其可以被视为重要的解释变量,分别显示出与NH3-N和CODMN的正相关和负相关。该研究可以帮助我们识别尺度过程互动的水质变化,为淮河流域提供了综合水质管理和决策的科学依据,也为世界其他河流流域提供了科学依据。

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